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  <div class="Section">
    <h1 class="font-m f36">Section 1 Introduction</h1>
    <p class="f20 font-m">1.1 Overview of the Guide</p>
    <div>
      <p class="f16 font-m subheading">
        1.1.1 Background of the AITEP Platform
      </p>
      <p class="f16 font-r main_text">
        The pharmaceutical manufacturing industry has long faced significant
        challenges in ensuring production quality and safety, especially as
        global regulatory authorities increasingly tighten requirements for
        cleaning validation and toxicological evaluation. Cleaning validation
        ensures that equipment and production environments do not cause
        cross-contamination when producing different drugs. The focus of
        toxicological evaluation is to confirm whether any residual drugs or
        chemicals pose potential health risks to humans.
      </p>
      <br />
      <p class="f16 font-r main_text">
        Traditional toxicological evaluation methods primarily rely on manually
        collecting and analyzing toxicological data, a process that is both
        time-consuming and labor-intensive. This approach is inefficient in
        managing modern pharmaceutical production processes, particularly in
        markets like Hong Kong, where there are numerous drug varieties with
        different sources and manufacturers of active pharmaceutical
        ingredients. To address these challenges and help pharmaceutical
        manufacturers meet global regulatory requirements, the AITEP platform
        was developed. AITEP automates the toxicological evaluation process by
        leveraging artificial intelligence (AI) and natural language processing
        (NLP) technologies, simplifying the evaluation workflow.
      </p>
    </div>
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      <p class="f16 font-m subheading">
        1.1.2 Definition and Functions of the AITEP Platform
      </p>
      <p class="f16 font-r main_text">
        The AITEP platform is an advanced toxicological evaluation system
        designed to support pharmaceutical manufacturers and regulatory
        authorities through AI technology. The platform's functions include:
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      <p class="f16 font-m subheading">1.1.3 Importance of the Platform</p>
      <p class="f16 font-r main_text">
        In the modern pharmaceutical industry, toxicological evaluation has
        become an essential procedure. With updates to global regulatory
        standards, such as PIC/S Annex 17, pharmaceutical manufacturers are
        required to ensure the cleanliness of equipment and the safety of
        residues. These standards mandate thorough cleaning of all
        pharmaceutical equipment between different drug productions and
        toxicological evaluations to ensure that no harmful substances remain.
      </p>
      <p class="f16 font-r main_text">
        The AITEP platform was developed to help pharmaceutical manufacturers
        enhance efficiency and ensure compliance. In traditional toxicological
        evaluation processes, manually analyzing large amounts of toxicological
        data is extremely time-consuming. AITEP accelerates this process through
        automation, reducing the time and labor costs involved in evaluations,
        and enabling pharmaceutical manufacturers to conduct toxicological
        assessments more quickly and accurately.
      </p>
    </div>
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      <p class="f16 font-m subheading">
        1.1.4 Key Technological Innovations of AITEP
      </p>
      <p class="f16 font-r main_text">
        The technological core of the AITEP platform lies in its advanced AI and
        NLP technologies. These technologies enable the extraction of key
        information from vast amounts of literature and databases, and the
        automatic analysis of this data to generate high-quality toxicological
        evaluation reports.
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const list = [
  {
    title: "· Automated Toxicological Data Processing:",
    text: "Utilizing AI technology to collect and categorize toxicological data from various sources, reducing the time and effort required for manual processing.",
  },
  {
    title: "· Permitted Daily Exposure (PDE) Evaluation: ",
    text: "The platform automatically generates PDE reports to ensure that residues from the drug manufacturing process do not adversely affect human health.",
  },
  {
    title: "· Data Analysis and Report Generation:",
    text: "AITEP can efficiently generate toxicological evaluation reports that comply with international standards, aiding pharmaceutical manufacturers in passing compliance inspections smoothly.",
  },
  {
    title: "· Modular System Design: ",
    text: "AITEP includes multiple modules such as ToxiClassify, RiskSmart, and PDEscribe, each responsible for filtering, analyzing, and generating reports on toxicological data, ensuring accuracy and comprehensiveness in evaluations.",
  },
];
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  {
    title: "· Artificial Intelligence (AI) Technology:",
    text: "Through AI algorithms, AITEP can automatically extract toxicological parameters from vast data sets. This not only speeds up data processing but also reduces the likelihood of errors in manual operations.",
  },
  {
    title: "· Natural Language Processing (NLP) Technology:",
    text: "NLP enables the platform to process complex textual information, such as toxicological literature and research reports. This allows the platform to automatically identify key information from texts, such as drug names and toxicity data, for use in toxicological evaluations.",
  },
  {
    title: "· Distributed Network Scraping System (DP2): ",
    text: "AITEP includes a distributed network scraping system designed to automatically retrieve toxicological data from multiple global databases, organizing it within the platform for analysis.",
  },
];
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